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<document xmlns="http://cnx.rice.edu/cnxml" xmlns:md="http://cnx.rice.edu/mdml/0.4" xmlns:bib="http://bibtexml.sf.net/" xmlns:m="http://www.w3.org/1998/Math/MathML" id="new">
  <name>The Chi-Square Distribution: Notation</name>
  <metadata>
  <md:version>1.3</md:version>
  <md:created>2008/06/20 11:25:28 GMT-5</md:created>
  <md:revised>2008/07/15 10:06:55.715 GMT-5</md:revised>
  <md:authorlist>
      <md:author id="billowsky">
      <md:firstname>Barbara</md:firstname>
      
      <md:surname>Illowsky</md:surname>
      <md:email>illowskybarbara@deanza.edu</md:email>
    </md:author>
      <md:author id="sdean">
      <md:firstname>Susan</md:firstname>
      
      <md:surname>Dean</md:surname>
      <md:email>deansusan@deanza.edu</md:email>
    </md:author>
  </md:authorlist>

  <md:maintainerlist>
    <md:maintainer id="cnxorg">
      <md:firstname/>
      
      <md:surname>Connexions</md:surname>
      <md:email>cnx@cnx.org</md:email>
    </md:maintainer>
  </md:maintainerlist>
  
  <md:keywordlist>
    <md:keyword>elementary</md:keyword>
    <md:keyword>statistics</md:keyword>
  </md:keywordlist>

  <md:abstract>This module provides an overview of Chi-Square Distribution Notation as a part of Collaborative Statistics collection (col10522) by Barbara Illowsky and Susan Dean.</md:abstract>
</metadata>
  <content>
    <para id="element-364">The notation for the chi-square distribution is:</para><para id="element-712"><m:math>
<m:msup>
<m:mi>χ</m:mi>
<m:mn>2</m:mn>
</m:msup></m:math> ~
<m:math>
<m:msubsup>
<m:mi>χ</m:mi>
<m:mtext>df</m:mtext>
<m:mn>2</m:mn>
</m:msubsup>
</m:math></para><para id="element-567">where <m:math>
<m:mi>df</m:mi>
<m:mo>=</m:mo>
</m:math> degrees of freedom depend on how chi-square is being used. (If you want to
practice calculating chi-square probabilities then use 
<m:math>
<m:mi>df</m:mi>
<m:mo>=</m:mo>
<m:mi>n</m:mi>
<m:mo>-</m:mo>
<m:mn>1</m:mn>
</m:math>. The degrees of freedom
for the three major uses are each calculated differently.)</para><para id="element-734">For the 
<m:math>
<m:msup>
<m:mi>χ</m:mi>
<m:mn>2</m:mn>
</m:msup>
</m:math> distribution, the population mean is 
<m:math>
<m:mi>μ</m:mi>
<m:mo>=</m:mo>
<m:mi>df</m:mi>
</m:math> and the population
standard deviation is 
<m:math>
<m:mi>σ</m:mi>
<m:mo>=</m:mo>
<m:msqrt>
<m:mn>2</m:mn>
<m:mo>⋅</m:mo>

<m:mi>df</m:mi>
</m:msqrt>
</m:math>.</para><para id="element-797">The random variable is shown as 
<m:math>
<m:msup>
<m:mi>χ</m:mi>
<m:mn>2</m:mn>
</m:msup>
</m:math> but may be any upper case letter.</para><para id="element-468">The random variable for a chi-square distribution with 
<m:math>
<m:mi>k</m:mi>
</m:math> degrees of freedom is the
sum of<emphasis> <m:math>
<m:mi>k</m:mi>
</m:math> </emphasis> independent, squared normal variables.</para><para id="element-708"><m:math>
<m:msup>
<m:mi>χ</m:mi>
<m:mn>2</m:mn>
</m:msup>
<m:mo>=</m:mo>
<m:mo>(</m:mo>
<m:msub>
<m:mi>Z</m:mi>
<m:mn>1</m:mn>
</m:msub>
<m:msup>
<m:mo>)</m:mo>
<m:mn>2</m:mn>
</m:msup>
<m:mo>+</m:mo>
<m:mo>(</m:mo>
<m:msub>
<m:mi>Z</m:mi>
<m:mn>2</m:mn>
</m:msub>
<m:msup>
<m:mo>)</m:mo>
<m:mn>2</m:mn>
</m:msup>
<m:mo>+</m:mo>
<m:mo>...</m:mo>
<m:mo>+</m:mo>
<m:mo>(</m:mo>
<m:msub>
<m:mi>Z</m:mi>
<m:mi>k</m:mi>
</m:msub>
<m:msup>
<m:mo>)</m:mo>
<m:mn>2</m:mn>
</m:msup>
</m:math></para>   
  </content>
  
</document>
